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kekz

I automate infrastructure and build AI tools: LLM inference on a single RTX 5090, agents with Claude Code, and the Proxmox and Docker stack they run on.

Stack

AI
LLM inference, CUDA, C++, AI agents, Claude Code, Cline, ChatGPT
Automation
Ansible, CI/CD, Docker, Git, Bash, PowerShell
Virtualization
Proxmox, VMware vSphere, HA clustering, Dell PowerEdge, NetApp, Backup
Microsoft
Entra ID, Intune, Active Directory, Exchange, SCCM, SQL Server, SharePoint
Linux services
nginx, Postfix, PostgreSQL, MySQL, NFS, Samba
Network and security
Firewalls, VLAN, WLAN, Fiber networks, Vulnerability analysis, Penetration testing

Projects

Public repositories on GitHub, most recently pushed first.

imp

LLM server for one RTX 5090. Qwen3.8-27B at 91.0-93.7 tok/s (vLLM 68.9-70.0, llama.cpp 61.8-63.0). Runs Qwen3.8-Flash-Next (123.6 GiB) on a 32 GB card at 87.89-98.57 tok/s. Built for agents: tool calls, long context, many streams at once.

Language
C++
Stars
44
Last push
Updated